Publications

"Bayesian Inference Featuring Entropic Priors" in AIP proceedings volume 954
(preprint)
A proposal for the choice of priors when the data model is known. It is argued that application of the Maximum Entropy Method strictly requires an assumption (expectation) on the data likelihood entropy.
When we don't have a clue about that, the data likelihood entropy variance should be maximized.